🎨 Typhoon V1 Sample Prompts
Typhoon V1 performs best with short, tag-style prompts. These examples reflect different use cases including portraits, scenes, stylized characters, and concept work.
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Typhoon V1 performs best with short, tag-style prompts. These examples reflect different use cases including portraits, scenes, stylized characters, and concept work.
Typhoon V1 performs best with short, tag-style prompts. These examples reflect different use cases including portraits, scenes, stylized characters, and concept work.
у меня локально поднят эмулятор телеграм на порту 3001 (api совместимо полностью с телеграм, можно использовать библиотеку телеграма, но обращаться к локальному адресу вместо сервера).
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Each team of students will be assigned one of the following projects to
<s>[INST] <<SYS>>\n{{system}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}}{{message}} [/INST] {{/ifUser}}{{#ifAssistant}}{{message}} </s><s>[INST] {{/ifAssistant}}{{/each}}
focus on the Facts EntityLink for type=person. When clicking on "+" it should create a new fact note linked to the person (this works already). The note's file name should be "Untitled Fact". The note's file name content should be slected so that it's easy for the user to modify it by typing the new
> Watch the breakdown here in a [Q4 2024 prompt engineering update video](https://youtu.be/ujnLJru2LIs)
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S3 is an object storage REST API.
Copy and paste these prompts into Claude Code in sequence to build and deploy your secure resume website.
Create development steps in `Scratchpad` of `.cursorrules` to create an ecommerce website with admin dashboard like amazon using TypeScript, Next.js 15, Shadcn, Lucide, Zod, Zustand, Recharts, Resend, Uploadthing, Prisma, PostgreSQL, next-auth@beta, Stripe.
From a blog or tutoria:
**Prompt**: Need to update the reasonchain's input taking, as we are currently taking PDF files only, what if we want the data to take in also here /home/sunny-bedi/practise/ReasonChain/reasonchain/rag/vector/add_to_vector_db.py. Also need to make sure the model /home/sunny-bedi/practise/ReasonChain
На основе текста из истории, создай детальное описание одной сцены на английском, а затем иллюстрацию на основе описания. Используй нейтральные обозначения для людей и животных, не имена, например, "мальчик" вместо "Ваня", "женщина" вместо "Анна", "собака" вместо "Жучка", и т.п. Если в тексте больше
This file contains some of the prompts used to extract information via ChatGPT 4.
本 MCP 服务器提供以下预定义 prompts,帮助用户快速完成常见任务。
- can be found in `model_comparisons.json` from chat data export
- `list_books()` - Find available books
Aprenda como criar system prompts eficazes — a inteligência central do seu assistente de IA
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